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Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s.
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“Precision measurement of the top quark mass from dilepton events at CDF II”
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“The New Numerical Integration Algorithm Based on Neural Network”
L. y. Xu and L. j. Li · 2007
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Andreas Hoecker et al · 2007
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“First Measurement of Z Z ZZ Production in panti-p Collisions at s \sqrt{s} = 1.96-TeV”
T. Aaltonen · 2008
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“Observation of Single Top Quark Production”
V.. Abazov · 2009
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“First Observation of Electroweak Single Top Quark Production”
T. Aaltonen · 2009
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“The Matrix Element Method and its Application in Measurements of the Top Quark Mass”
Frank Fiedler, Alexander Grohsjean, Petra Haefner and Philipp Schieferdecker · 2010
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“Inclusive Search for Standard Model Higgs Boson Production in the WW Decay Channel using the CDF II Detector”
T. Aaltonen · 2010
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“Automation of the matrix element reweighting method”
Pierre Artoisenet, Vincent Lemaitre, Fabio Maltoni and Olivier Mattelaer · 2010
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“The RooStats Project”
Lorenzo Moneta et al · 2010
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“Matrix Element Method in HEP: Transfer Functions, Efficiencies, and Likelihood Normalization”
I. Volobouev · 2011
Cited alongside, same era.
“The Matrix Element Method and QCD Radiation”
J. Alwall, A. Freitas and O. Mattelaer · 2011
Cited alongside, same era.
“Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC”
Serguei Chatrchyan · 2012
Cited alongside, same era.
“HistFactory: A tool for creating statistical models for use with RooFit and RooStats”, 2012
Kyle Cranmer et al · 2012
“Inclusive Flavour Tagging Algorithm”
Tatiana Likhomanenko, Denis Derkach and Alex Rogozhnikov · 2016
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In Heavy Flavour Data Mining Workshop , 2016
“Heavy Flavour Data Mining Workshop” · 2016
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In DS@HEP at the Simons Foundation , 2016
“DS@HEP at the Simons Foundation” · 2016
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“The LHCb Starterkit”
L. Bel · 2016
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“A Roadmap for HEP Software and Computing R&D for the 2020s”, 2017
Antonio Alves Jr · 2017
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In DS@HEP , 2017
“DS@HEP” · 2017
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Cited alongside, same era.
“Efficient, reliable and fast high-level triggering using a bonsai boosted decision tree”
V.. Gligorov and Mike Williams · 2013
Cited alongside, same era.
“Spline Basis Neural Network Algorithm for Numerical Integration”
Lina Yan, Jingjing Di and Ke Wang · 2013
Cited alongside, same era.
“Measurement of the properties of a Higgs boson in the four-lepton final state”
Serguei Chatrchyan · 2014
Cited alongside, same era.
“Generative Adversarial Networks”
I.. Goodfellow et al · 2014
Cited alongside, same era.
“The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations”
J. Alwall et al · 2014
Cited alongside, same era.
“The LHCb Turbo Stream”
Sean Benson, Vladimir Gligorov, Mika Vesterinen and John Williams · 2015
Cited alongside, same era.
“IML Machine Learning Workshop” · 2017
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In 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research , 2017
“18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research” · 2017
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In HEP Software Foundation Workshop , 2017
“HEP Software Foundation Workshop” · 2017
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Michela Paganini, Luke de Oliveira and Benjamin Nachman · 2017
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“Event generator tuning using Bayesian optimization”
Philip Ilten, Mike Williams and Yunjie Yang · 2017
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“Machine-Learning-based global particle-identification algorithms at the LHCb experiment”
Denis Derkach et al · 2017
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“Using the modified matrix element method to constrain L μ − L τ L_{\mu}-L_{\tau} interactions”
Fatemeh Elahi and Adam Martin · 2017
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Joshua Bendavid · 2017
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“Deep Probabilistic Programming”
Dustin Tran et al · 2017
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In Third Machine Learning in High Energy Physcis Summer School , 2017
“Third Machine Learning in High Energy Physics Summer School” · 2017
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“HEP Software Foundation Community White Paper Working Group - Detector Simulation”, 2018
J. Apostolakis · 2018
Closest in time.
“HEP Community White Paper on Software trigger and event reconstruction”, 2018
J. Albrecht · 2018
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M. Andrews, M. Paulini, S. Gleyzer and B. Poczos · 2018
Closest in time.
“Facilitating collaborative analysis in SWAN”
Enric Tejedor · 2018
Closest in time.
“HEP Software Foundation Community White Paper Working Group - Training, Staffing and Careers”, 2018
Dario Berzano · 2018
Closest in time.
“MoMEMta, a modular toolkit for the Matrix Element Method at the LHC”
Sébastien Brochet et al · 2019
Closest in time.